Overview: Picking the right GPU for 3D work in 2025
3D rendering loves parallel compute. Therefore, the right GPU can transform your workflow. Renders finish sooner. Viewports feel responsive. Deadlines feel safer. However, the best card depends on your tools and scenes. Your renderer choice matters a lot. Your VRAM needs also matter greatly. Your budget matters too, of course. Because of this, you need a clear plan.
This guide targets practical studio outcomes. We focus on time saved and money preserved. We also focus on stability and drivers. Additionally, we highlight smart value picks. We avoid hype or risky assumptions. Instead, we recommend dependable 2025 choices. Finally, we link to live deals and deeper guides. You can move from research to checkout quickly.
If you want a broad primer, start here. Read our cornerstone guide, GPU Buying Guide 2025: Pick the Right Card. It explains key GPU terms. It also explains budget strategies. Then return to this rendering-focused playbook.
Key rendering concepts that shape GPU choice
Render engines scale with parallel compute. Therefore, more cores help. However, specialized cores also matter. For example, RT cores speed ray calculations. Tensor cores accelerate denoising and AI features. Memory capacity and bandwidth also matter. Drivers can affect stability and plugin behavior. Power, cooling, and noise also impact daily work.
VRAM capacity is your first constraint
VRAM limits scene size. It also limits texture resolution. It limits particle systems and hair. It limits complex geometry and UDIMs. When VRAM overflows, performance collapses. Some engines use out-of-core memory. That helps sometimes. However, it can be slow. Therefore, plan VRAM first.
Consider your typical scene sizes. Consider your largest projects too. Also consider your texture habits and UDIM counts. Then match VRAM with headroom. For a deeper explanation, read VRAM Explained: How Much GPU Memory Do You Need?. It offers clear, practical VRAM targets. It also explains denoiser memory footprints.
Compute cores, RT cores, and accelerators
Modern engines use GPU ray tracing. Consequently, hardware RT cores help a lot. NVIDIA OptiX is very mature. So NVIDIA often leads in many ray engines. Tensor cores also matter. They accelerate AI denoisers and upscalers. AMD offers strong raster performance. AMD also offers large VRAM at good prices. HIP acceleration has improved with time. However, engine support varies by vendor.
Memory bandwidth and memory type
Complex scenes hit memory heavily. Therefore, bandwidth matters. GDDR6X offers higher speeds on some cards. GDDR6 is common and efficient. However, bus width also affects bandwidth. Wider buses are beneficial for heavy scenes. For a deeper background, see GPU Memory Types: GDDR6, GDDR6X, HBM2e. It clarifies how memory technology influences throughput.
Drivers and software ecosystem
Driver quality affects reliability. It also affects viewport stability. Studio drivers can improve DCC performance. Game drivers prioritize new titles. Therefore, creators should prefer studio releases when available. AMD offers Pro drivers for select cards. NVIDIA offers Studio drivers across many GPUs. Always check your renderer release notes. Compatibility lists can save your day.
Power, thermals, and acoustics
Renders often run for hours. Therefore, cooling matters a lot. Quieter coolers improve focus and comfort. Larger heatsinks help sustained clocks. Good case airflow prevents thermal throttling. Also confirm your power supply capacity. Large GPUs can draw serious power. If unsure, review How to Check If Your Power Supply Can Handle a New GPU. It explains wattage math and connectors.
Renderer compatibility in practice
Different engines prefer different stacks. Therefore, test your pipeline if possible. Many renderers offer trials. Many also publish compatibility matrices. Because support evolves, always verify current notes. Below are practical tendencies by major engines.
Blender Cycles and Eevee
Cycles supports CUDA, OptiX, and HIP. OptiX often speeds path tracing significantly. Therefore, NVIDIA cards perform strongly. HIP support has matured on RDNA cards. Performance is competitive in many scenes. However, feature parity still evolves. Eevee is largely raster-driven. Therefore, both vendors can perform well. Large VRAM still helps with heavy assets.
OctaneRender
Octane historically favored CUDA. Therefore, NVIDIA has led performance. OTOY continues developing cross-vendor paths. However, support details can change often. Consequently, verify current release notes before buying. Check plugin-specific notes for DCCs as well.
Redshift
Redshift added HIP support in recent years. Consequently, AMD cards gained traction. CUDA and OptiX remain mature on NVIDIA. Features and stability continue to improve across stacks. However, verify exact version support. Some features can lag across backends.
V-Ray GPU
V-Ray GPU has emphasized CUDA and OptiX. Therefore, NVIDIA has been broadly favored. AMD support has evolved more slowly. Always check Chaos documentation before purchase. Large scenes may require VRAM headroom. Denoisers also consume memory.
Arnold GPU
Arnold GPU supports OptiX acceleration. Consequently, NVIDIA often sees strong results. Autodesk continues to refine features. However, plugin parity and memory limits still apply. Verify your renderer build and driver match.
Other engines and plugins
Many boutique engines exist. Some rely on CUDA. Others rely on HIP or OpenCL. New AI denoisers also appear frequently. Therefore, confirm your preferred stack first. Then buy the card that fits those constraints. Do not assume cross-vendor parity. It can vary per feature and version.
Best GPUs by budget and use case
Prices change fast. Therefore, we focus on value ranges. We also favor VRAM for reliability. Performance per dollar matters as well. Finally, we include live deal widgets. You can compare prices easily. For daily price tracking, visit our hub, GPU Deals. It updates frequently and helps timing.
Entry-level budgets under $300
Entry cards can handle light scenes. However, VRAM becomes the bottleneck quickly. Older models still appear in this bracket. Some provide 8GB only. That can be tight for 3D work. Therefore, plan carefully.
- NVIDIA GeForce RTX 3060 12GB. It appears used or on sale. It offers 12GB VRAM. OptiX accelerates Cycles. It remains a practical starter.
- AMD Radeon RX 6600 8GB. It works for basic viewport and light scenes. However, 8GB limits growth. It suits learning and low complexity.
At this level, scene planning is essential. Keep texture sets small. Use instancing carefully. Reduce subdivision depth. Consider a used mid-range card if possible. That can offer stronger value.
Mid-range budgets from $300 to $500
This tier balances price and capability. Therefore, it suits freelancers and students. 12GB or 16GB helps a lot here. Mature drivers also improve stability. Now, prioritize VRAM over minor speed gains.
- NVIDIA GeForce RTX 4060 Ti 16GB. The 16GB buffer is valuable. OptiX and Tensor cores aid denoising. Performance is respectable for the price.
- NVIDIA GeForce RTX 4070 12GB. It offers strong efficiency. It also brings DLSS and OptiX benefits. However, 12GB can still limit large scenes.
- AMD Radeon RX 7700 XT 12GB. It offers good raster performance. HIP support continues to improve. Verify renderer support for your stack.
- AMD Radeon RX 7800 XT 16GB. This is a notable value. The 16GB buffer is generous at this price. It suits larger archviz scenes.
See current prices and VRAM options below. Filter by budget and memory needs.
For AMD alternatives, compare across capacities too. Then weigh driver considerations and renderer notes. Finally, pick based on your software mix.
Upper mid-range from $500 to $800
This bracket suits growing studios. It suits heavier scenes and larger textures. It also suits more frequent denoiser usage. More VRAM still matters greatly here.
- NVIDIA GeForce RTX 4070 Super 12GB. It is efficient and reliable. Studio drivers support many DCCs. However, 12GB remains a hard limit.
- NVIDIA GeForce RTX 4070 Ti Super 16GB. The 16GB buffer is a sweet spot. OptiX and Tensor cores assist workflows. It handles substantial scenes comfortably.
- AMD Radeon RX 7900 GRE 16GB. It offers good 16GB capacity. HIP performance is competitive in Blender. Always confirm engine support details.
- AMD Radeon RX 7900 XT 20GB. The 20GB buffer is excellent for 3D. It helps with UDIM-heavy materials. It also aids complex hair or particles.
These options strike strong value. They balance capacity and throughput well. They also offer better longevity. Therefore, many studios prefer this range.
High-end from $800 to $1,200
High-end cards accelerate big productions. They shorten render queues meaningfully. They also keep viewports responsive. VRAM and ray performance matter a lot here.
- NVIDIA GeForce RTX 4080 Super 16GB. It offers strong ray performance. OptiX boosts Cycles speed significantly. 16GB is workable for many scenes.
- AMD Radeon RX 7900 XTX 24GB. The 24GB buffer is generous. It helps with heavy assets and UDIMs. It also supports larger animation shots.
Evaluate your renderer’s current backend. If OptiX dominates your pipeline, NVIDIA is safer. If HIP support meets your needs, AMD offers great VRAM per dollar.
Professional and workstation options
Workstation GPUs focus on driver stability. They also focus on ECC memory and certification. Studios value those guarantees. They also value larger VRAM pools. However, prices rise sharply. Therefore, weigh ROI carefully.
- NVIDIA RTX 6000 Ada 48GB. It offers massive VRAM and strong performance. Studio drivers target DCC reliability. It suits large film assets and crowds.
- NVIDIA RTX A5000 24GB. It balances price and VRAM. It also offers workstation support. It is a reliable production workhorse.
- AMD Radeon Pro W7900 48GB. It offers 48GB at a strong value. Pro drivers target stability and certifications. It suits hefty texture sets and caches.
- AMD Radeon Pro W7800 32GB. It offers a deep VRAM pool. It targets professional pipelines. It balances capacity and pricing.
Remember plugin compatibility for your tools. Some DCC plugins may prefer specific stacks. Verify certifications and driver versions. Then choose the card that fits your pipeline.
How much VRAM do different 3D jobs need?
VRAM needs vary by asset scale. They also vary by texture strategy. They also vary by hair and particles. Furthermore, they vary by resolution targets. Finally, denoisers and render buffers consume VRAM too.
- Product rendering for e-commerce. 8GB to 12GB can suffice. However, 16GB gives margin for complex materials.
- Motion graphics with moderate complexity. 12GB to 16GB works well. Heavy caches push needs higher.
- Archviz with many assets and UDIMs. 16GB to 24GB is prudent. Instances help, but textures still add up.
- Short films with detailed characters. 16GB to 24GB is safer. Grooming and SSS can demand more memory.
- Large cinematic shots and crowds. 24GB and above is ideal. ECC VRAM also improves reliability.
For memory planning, read our detailed explainer, VRAM Explained. It outlines trade-offs across scenes and denoisers. It also helps prevent surprise overflows.
NVIDIA vs AMD for rendering in 2025
Both vendors can deliver great results. However, differences still matter. OptiX is fast and mature on NVIDIA. HIP support has improved for AMD. Some engines still prefer CUDA. Some offer solid HIP paths now. Therefore, start with your engine list. Then check their latest compatibility notes.
NVIDIA advantages include OptiX speed and Studio drivers. Tensor cores aid AI denoising. Many plugins target CUDA first. However, VRAM per dollar can be lower. AMD advantages include large VRAM budgets. HIP performance has improved notably. Pricing can be favorable for 16GB and above. However, some engines still lag in features.
If you split time across engines, pick carefully. Prioritize your most demanding renderer. Then map features you actually use. Finally, verify with recent release notes for each tool.
Price-to-performance strategies for studios
Budgets must serve deliverables. Therefore, value matters. However, losing days to VRAM issues is worse. Consequently, avoid underbuying VRAM. Choose the capacity that fits your largest scenes. Then pick the fastest card within budget.
Also consider multiple mid-range cards. Some engines scale with multiple GPUs. That can beat a single flagship sometimes. However, engine support varies. Memory does not pool across cards in many engines. Therefore, each card still needs enough VRAM.
Finally, time purchases with market dips. Our live GPU Deals hub tracks price drops. It can save meaningful budget across a team.
Best value 16GB+ deals for rendering
Many 3D artists target 16GB. It feels like a current sweet spot. 20GB and 24GB feel even safer. However, prices climb accordingly. The widget below spotlights 16GB-plus options. It emphasizes affordability and VRAM capacity.
For a curated list, visit our dedicated page, Best 16GB VRAM GPU Deals. It updates daily and covers both brands.
Viewport and interactive lookdev performance
Rendering speed matters a lot. However, lookdev speed matters every minute. Viewports benefit from driver stability and VRAM. They also benefit from fast single-precision throughput. Some DCCs depend on specific API paths. Therefore, check your software’s recommended drivers. Studio drivers often enhance viewport reliability.
Shader compilation can stall work. Faster GPUs recover faster. However, CPU and storage also influence compile times. We discuss storage below. We also discuss RAM impacts later.
System RAM and storage for render reliability
System RAM backs your GPU workflow. It buffers assets and caches. It also feeds out-of-core data when needed. Therefore, do not starve your system RAM. For 3D work, 32GB is a workable floor. 64GB feels safer for heavy scenes. 128GB is ideal for major productions.
For memory depth, see RAM for 3D Rendering: Speed vs Capacity. It explains why capacity usually beats minor speed gains. It also suggests sensible upgrade paths.
Fast storage improves cache behavior. It speeds texture streaming and previews. It also helps comp files and proxies. Consequently, NVMe SSDs remain essential for creators. For a balanced overview, read NVMe vs SATA for Creators 2025 Guide. It compares real workflow impacts.
Here are value 2TB NVMe options. They are ideal for project and cache drives.
For broader SSD picks, browse Best NVMe SSDs for Content Creators 2025. It includes sustained write and endurance notes.
Power, case clearance, and cooling
Large GPUs need room. Therefore, check case clearance first. Also check cooler thickness and PCIe slot interference. Measure before buying. Heavy cards also require strong PCIe brackets. Consider a support bracket to prevent sag.
Thermals influence sustained clocks. Good case airflow preserves performance. Front intake fans improve GPU temperature. Top exhaust fans remove heat quickly. Lower noise improves long sessions. Therefore, pick quiet coolers when possible.
Power budgets must be realistic. Confirm wattage and connectors carefully. If unsure, revisit our PSU capacity guide. It covers transient spikes and adapter safety.
Drivers, stability, and version pinning
Studio projects require stability. Therefore, pin working driver versions. Update only after tests. Keep a rollback plan ready. Save installers locally if possible. Follow your renderer’s driver recommendations.
NVIDIA Studio drivers often enhance DCC support. AMD Pro drivers target professional stability. Consumer drivers still work for many artists. However, Studio and Pro tracks can reduce issues. Also match DCC plugin versions carefully. Mixed versions cause many crashes.
Used and refurbished GPU buying tips
Used cards can deliver huge value. However, risk management matters a lot. Buy from reputable sellers with returns. Avoid suspicious listings or mismatched photos. Test immediately on arrival. Run stress tests and render samples. Document temperatures and behavior.
Study our buying guides before you bid. Read How to Buy a Used GPU Safely on eBay. Also read Signs of a Fake GPU on eBay or Amazon. These resources can save serious headaches.
Timing also affects price. Holiday sales shift supply and demand. Back-to-school seasons influence laptop GPU pricing. For strategy, read Best Time of Year to Buy a GPU or RAM. It can help you plan upgrades effectively.
Recommendations by workflow type
Different pipelines reward different strengths. Therefore, use targeted picks below. Adjust for your specific renderer and plugins. Also weigh VRAM first. Then prioritize throughput and driver maturity.
Product rendering and lookdev
- Best budget: RTX 4060 Ti 16GB. The VRAM helps with complex materials. OptiX accelerates sample convergence.
- Balanced: RTX 4070 Ti Super 16GB. It handles heavy shaders well. It also keeps interactive speed high.
- AMD value: RX 7800 XT 16GB. HIP performance is solid in Blender. The 16GB buffer suits product sets.
Archviz scenes with large asset libraries
- Best value: RX 7900 XT 20GB. The 20GB VRAM helps with UDIM textures. It also handles many props smoothly.
- NVIDIA mid-high: RTX 4080 Super 16GB. OptiX speeds path tracing. 16GB fits many archviz rooms well.
- High capacity: RX 7900 XTX 24GB. Extra VRAM absorbs large textures. It helps with high-res render buffers.
Short films, animation, and character work
- Balanced: RTX 4070 Ti Super 16GB. It manages character shading well. It also accelerates denoisers efficiently.
- VRAM-first: RX 7900 XTX 24GB. The capacity suits complex grooms. It also supports many render layers.
- Workstation tier: RTX A5000 24GB. Studio drivers help stability. It suits long render queues.
VFX shots and heavy compositing
- High-end: RTX 4080 Super 16GB. OptiX helps noisy shots converge. It works well with AI denoisers.
- VRAM-focused: RX 7900 XTX 24GB. Extra memory reduces out-of-core penalties. It aids large plate textures.
- Workstation leader: RTX 6000 Ada 48GB. It supports massive caches. Certification helps mission-critical work.
Freelancers juggling multiple engines
- Safety pick: RTX 4070 Ti Super 16GB. Broad compatibility across engines. Strong performance for the price.
- Budget flexibility: RTX 4060 Ti 16GB. It balances cost and VRAM. It works nicely for light to moderate scenes.
- AMD leverage: RX 7800 XT 16GB. Favorable VRAM per dollar. Verify engine support for your stack.
Quick buy shortcuts for today
You can scan real-time prices below. Filter by VRAM and brand as needed. Then compare effective value quickly. Finally, confirm driver and engine requirements.
Remember to check our live hub, GPU Deals. It tracks NVIDIA and AMD drops. It also flags notable coupons and rebates.
Practical configuration tips for render stability
Small tweaks prevent big crashes. Therefore, tune your settings. Then save presets for repeatable results. Share configs across your team. Consistency saves time.
- Tile size and scheduling. Test tile sizes for your engine. OptiX often prefers larger tiles. HIP preferences can differ.
- AI denoisers. Test runtime denoising vs post denoising. Some shots favor post with better control.
- Texture resolution strategy. Use UDIMs wisely. Mipmaps and texture compression help memory usage.
- Instances and proxies. Rely on instancing for repeating assets. Use proxies to control memory allocation.
- Subdivision discipline. Limit high levels during lookdev. Increase only for final renders if needed.
- Out-of-core fallbacks. Keep fast NVMe scratch space. Avoid swapping to slow disks. Monitor VRAM during tests.
- Driver pinning. Freeze working versions. Update during low-risk windows only.
Stereo, VR, and real-time previs considerations
VR and previs add constraints. They demand steady interactive rates. They also demand enough VRAM for two eyes. Therefore, choose cards with ample headroom. Consider 16GB minimum for serious VR scenes. 20GB or 24GB is nicer for heavy assets.
Viewport denoisers help real-time lookdev. However, they also add memory costs. Balance denoiser use with scene size. Reduce texture resolution for previews. Then restore full resolution for finals.
When to choose workstation GPUs
Not every studio needs workstation cards. However, some do. Certification can be required by clients. ECC VRAM can also be essential. Long-running renders benefit from extra safeguards. Pro driver support also aids complex pipelines. Nevertheless, price jumps are steep. Therefore, measure ROI carefully.
If you need 48GB VRAM on one card, workstation models help. Multi-GPU setups can also work. However, VRAM does not combine across cards in many engines. Consequently, a single large VRAM card remains valuable.
Scratch disks, project libraries, and backups
Storage determines day-to-day fluidity. NVMe scratch boosts texture streaming. It also speeds cache writes and previews. Project libraries benefit from fast reads. Therefore, get at least one 2TB NVMe drive. Keep it under 60% full for performance.
For deals, check the widget above. Also consider our hub pages for drives. Visit Best NVMe SSD Deals for live pricing. For enterprise storage, browse Enterprise SSD Deals. Redundant storage protects deliveries and assets.
How to validate a card before project use
Always test before production. Run sample scenes across engines. Render a short stress shot at high resolution. Monitor clocks, power, and temperature. Log VRAM usage under different settings. Then test denoisers and AOV workflows. Finally, pin the working stack versions.
For team setups, document steps clearly. Store configs in version control. Maintain a rollback driver in your archive. Also record renderer builds that shipped client work. That history shortens future diagnostics.
Frequently asked questions
Do I need more than one GPU?
Maybe, depending on your engine. Some engines scale well across GPUs. Others benefit less from multiple cards. VRAM does not combine in many engines. Therefore, each card still needs enough memory. Consider render nodes if you scale later.
Is 8GB VRAM enough in 2025?
It can be, for simple scenes. However, 8GB restricts future growth. 12GB is a safer minimum now. 16GB is a comfortable baseline for 3D. Larger scenes benefit from 20GB or 24GB.
Which brand is better for Blender?
Both can work well. OptiX is strong on NVIDIA. HIP has improved a lot for AMD. Your scenes and add-ons dictate the winner. Always test your exact workloads when possible.
Should I upgrade RAM or GPU first?
If VRAM overflows, upgrade the GPU. If system memory is maxed, upgrade RAM. Storage speed also influences stutters. Therefore, examine monitoring data first. Then choose the bottleneck to fix.
What about external GPUs for laptops?
eGPUs can help mobile creators. However, bandwidth can limit performance. Thunderbolt adds overhead. Nevertheless, it beats an iGPU for many tasks. Review our guide, Best External GPUs for Laptops. It explains practical expectations.
When do PCIe 5.0 features matter?
Most GPUs still rely on PCIe bandwidth modestly. Rendering rarely saturates PCIe fully. Fast NVMe scratch has bigger impact. Therefore, do not chase PCIe 5.0 just for rendering. Focus on VRAM, cores, and drivers first.
Suggested builds by budget tier
These builds emphasize 3D reliability. They favor VRAM and stability. Adjust parts for your case and PSU. Also check live pricing before checkout.
Starter 3D build
- GPU: RTX 4060 Ti 16GB or RX 7800 XT 16GB.
- CPU: 6 to 8 cores with strong single-core speed.
- RAM: 32GB DDR4 or DDR5.
- Storage: 1TB OS NVMe, 2TB scratch NVMe.
- PSU: 650W to 750W, 80 Plus Gold.
For active memory deals, check our RAM hub. Visit Best RAM Deals. It tracks DDR4 and DDR5 discounts daily.
Growth studio build
- GPU: RTX 4070 Ti Super 16GB or RX 7900 XT 20GB.
- CPU: 8 to 12 cores with high boost clocks.
- RAM: 64GB DDR5 for headroom.
- Storage: 2TB NVMe project, 2TB NVMe scratch.
- PSU: 750W to 850W, quality brand.
Compare 64GB memory kits easily. Use our curated RAM pages. See Best 64GB RAM Deals for daily picks.
Heavy production build
- GPU: RTX 4080 Super 16GB or RX 7900 XTX 24GB.
- CPU: 12 to 16 cores for multi-app workloads.
- RAM: 128GB for large scenes and caches.
- Storage: 4TB NVMe total across project and scratch.
- PSU: 850W to 1000W with strong transient handling.
If your budget allows workstation GPUs, compare ROI carefully. Certification and ECC can justify costs for some pipelines.
Tuning textures, caches, and scene management
Efficient scenes save time and memory. Therefore, adopt discipline early. Use texture compression and mipmaps. Keep UDIM counts reasonable. Consolidate materials when sensible. Use optimized proxies for heavy assets.
Cache management also matters. Store caches on fast NVMe. Clean stale caches between sequences. Version caches per shot to avoid confusion. Monitor VRAM while tuning tile sizes. Then document your best practices for the team.
Comparing GPUs across engines without bias
Benchmarks can mislead sometimes. Scenes differ and engines vary. Therefore, test with your own assets. Build a small benchmark suite. Include your largest texture sets. Include your common lighting setups. Add one extremely heavy scene. Then record times under stable drivers.
Finally, compare price versus render hours saved. Time is money in production. Consequently, the fastest card may pay for itself. However, a cheaper card with enough VRAM may win. It depends on your rate and workload volume.
Additional reading and related guides
Explore these resources for deeper context. They pair well with your GPU research. They also help with balanced system planning.
- Cornerstone: GPU Buying Guide 2025.
- Hub: GPU Deals for updated prices.
- Supporting: VRAM Explained.
- Supporting: GPU Memory Types.
- Supporting: Best NVMe SSDs for Content Creators.
Today’s best mid-range and pro deals
Scan these before finalizing your cart. Then cross-check VRAM and power needs. Finally, verify case clearance and connectors.
If you want broader brand filters, use our NVIDIA and AMD hubs. Visit Best NVIDIA GPU Deals. Or check Best AMD GPU Deals. These pages track drops and bundles daily.
Conclusion: A practical path to faster renders
Choose VRAM capacity first. Then choose the fastest card you can afford. Match your renderer’s preferred backend. Confirm driver maturity and plugin compatibility. Plan cooling and power realistically. Validate with your own scenes. Then lock stable versions for production.
For many artists, 16GB is the new baseline. 20GB and 24GB add welcome safety. NVIDIA often leads in OptiX workflows. AMD offers strong VRAM per dollar. Both paths can deliver great results. Your engine decides the winner for you.
Next, check live prices on our hub, GPU Deals. Then revisit the GPU Buying Guide 2025 for final checks. Finally, grab a fast scratch drive from our widget. Your renders and viewports will feel smoother immediately.
Because every hour counts, spend wisely. Then ship confidently. Your clients will feel the difference quickly.